Linear quadratic state feedback and robust neural network estimator for field-oriented-controlled induction motors

IEEE Transactions on Industrial Electronics

Volumn 46, Issue 1, 1999, Pages 150-161

  Marino, Pompeo ^a   Milano, Michèle ^a   Vasca, Francesco ^a  

^a SECOND UNIVERSITY OF NAPLES   (Italy)

Author keywords

Induction motor drives; Linear quadratic control; Neural network applications; Parameter estimation

Indexed keywords

APPROXIMATION THEORY; COMPUTER SIMULATION; ELECTRIC CURRENT REGULATORS; KALMAN FILTERING; LINEAR CONTROL SYSTEMS; NEURAL NETWORKS; OPTIMAL CONTROL SYSTEMS; PARAMETER ESTIMATION; ROBUSTNESS (CONTROL SYSTEMS); ROTORS (WINDINGS); STATE FEEDBACK; TWO TERM CONTROL SYSTEMS;

FIELD-ORIENTED CONTROLLED (FOC) INDUCTION MOTORS; LINEAR QUADRATIC CONTROL; POLE PLACEMENT TECHNIQUES;

INDUCTION MOTORS;

EID: 0033079305     PISSN: 02780046     EISSN: None     Source Type: Journal    
DOI: 10.1109/41.744406     Document Type: Article

References (19)

1. G. C. Verghese and S. R. Sanders Observers for flux estimation i induction machines IEEE Trans. Ind. Electron. vol. 35 pp. 85-94 Feb. 1988.
2. L. C. Zai C. L. De Marco and T. A. Lipo An extended Kaiman filte approach to rotor time constant measurement in PWM induction moto drives IEEE Trans. Ind. Applicat. vol. 28 pp. 96-104 Jan./Feb. 1992.
3. L. Glielmo P. Marino R. Setola and F. Vasca Reduced Kaima filtering for indirect adaptive control of induction motors Int. J. Adapt Control Signal Process. vol. 8 no. 6 pp. 527-541 1994.
4. P. Marino V. Mungiguerra F. Russo and F. Vasca Parameter an state estimation for induction motors via interlaced least squares algorithm and Kaiman filter in Proc. PESC'96 Baveno Italy 1996 pp 1235-1241.
5. J. Stephan M. Bodson and J. Chiasson Real-time estimation of th parameters and fluxes of induction motors IEEE Trans. Ind. Applicat. vol. 30 pp. 746-758 May/June 1994.
6. M. G. Simöes and B. K. Böse Neural network based estimation o feedback signals for a vector controlled induction motor drive IEE Trans. Ind. Applicat. vol. 31 pp. 620-629 May/June 1995.
7. P. Marino M. Milano and F. Vasca Robust neural network observe for induction motor control in Conf. Rec. PESC'97 St. Louis MO 1997 pp. 699-705.
8. B. K. Bose Power Electronics and AC Drives. Englewood Cliffs NJ Prentice-Hall 1986.
9. B. Busco G. De Marco P. Marino V. Mungiguerra M. Porzio F Russo and F. Vasca Flux observation and parameter estimation o induction motors for traction drives in Conf. Rec. PESC'96 Baveno Italy 1996 pp. 1408-1413.
10. Control System Toolobx User's Guide The Math Works Inc. Natick MA July 1992.
11. B. D. O. Anderson and J. B. Moore Optimal Control. Englewoo Cliffs NJ: Prentice-Hall 1989
12. S. Haykin Neural Networks. New York: McMillan 1994.
13. J. Hu and B. Wu New integration algorithms for estimating motor flu over a wide speed range in Conf. Rec. 1997 St. Louis MO 1997 pp 1075-1081.
14. Neural Network Toolbox User's Guide The Math Works Inc. Natick MA Jan. 1994.
15. T. S. Low T. H. Lee and H. K. Lim A methodology for neura network training for control of drives with nonlinearities IEEE Trans Ind. Electron. vol. 39 pp. 243-249 Apr. 1993.
16. P. R. Bevington Data Reduction and Error Analysis for the Physica Sciences. New York: McGraw-Hill 1969.
17. L. Milano F. Barone and M. Milano Time domain amplitude an frequency detection of gravitational waves from coalescing binaries Phys. Rev. D vol. 55 no. 8 pp. 4537-4554 Apr. 1997.
18. W. L. Price A controlled random search procedure for global optimization Comput. J. vol. 20 no. 4 pp. 367-370 1976
19. H. W. Van der Broeck H. C. Skudelny and G. V. Stanke Analysis and realization of a pulsewidth modulator based on voltage space vectors IEEE Trans. Ind. Applicat. vol. 24 pp. 142-150 Jan./Feb. 1988.